Evidence map›Paper›PMID 40606502›Full record

ArticleJournal of clinical and experimental hepatology

Spleen Area Affects the Performance of the Platelet Count-Based Non-invasive Tools in Predicting First Hepatic Decompensation in Metabolic Dysfunction-Associated Steatotic Liver Disease Cirrhosis.

Marcello Dallio, Mario Romeo, Fiammetta Di Nardo, Carmine Napolitano, Paolo Vaia, Simone Olivieri, Marco Niosi, Alessandro Federico

Abstract read
In one paragraph

Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Marcello DallioHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
Mario RomeoHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
Fiammetta Di NardoHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
Carmine NapolitanoHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
Paolo VaiaHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
Simone OlivieriHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
Marco NiosiHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
Alessandro FedericoHepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aims: Various non-invasive tools (NITs) predicting first hepatic decompensation (HD) in advanced chronic liver disease (ACLD) enclose platelet (PLT) count. A relevant proportion of metabolic dysfunction-associated steatotic liver disease (MASLD)-ACLD patients do not show splenomegaly- and hypersplenism-related thrombocytopenia. We aimed to evaluate the performance of NITs in predicting HD according to ultrasound-assessed spleen size. Methods: In this observational study, 148 splenic and 27 asplenic (ASP) MASLD-compensated advanced chronic liver disease (cACLD) patients were enrolled. Ultrasound artificial intelligence-based tools distinguished splenomegaly-affected patients (SAPs) and normal-spleen patients (NSPs). Albumin-Bilirubin score (ALBI) and PLT count-based NITs (PLNs) (Fbrosis-4 [FIB-4], ALBI-FIB-4, red cell distribution width-to-PLT ratio [RPR], liver stiffness measurement [LSM]-to-platelet ratio [LSM/PLTr], and ANTICIPATE ± non-alcoholic steatohepatitis [NASH]) were determined. Over 3 years, the first HD was recorded. Results: Limitedly to SAP, spleen area inversely correlated with PLT (relationship [R]: -0.981; Conclusion: Ultrasound-assessed spleen size affects the predictive performance of the PLNs in MASLD-cACLD patients.

Indexed as

liver cirrhosisliver related eventspredictive modelspleen areaultrasound

Identifiers

PMID40606502
PMCPMC12209911

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